Being a Teacher-Coach in Ontario High Schools: Challenges and Recommendations
Bibliographic record
Abstract
In Ontario, coaching positions in high schools must be assumed by teachers who voluntarily take on the role of teacher-coach. There are tens of thousands of teacher-coaches in the province but little is known concerning their needs and preferred forms of support. The current study’s purpose consisted of examining the perspectives of Ontario high school teacher-coaches on the challenges they face and the initiatives they recommend to alleviate those challenges. Twenty-two participants (19 men, 3 women, M age = 37.5 years, age range: 25-56 years) from across the province took part in semi-structured interviews. The teacher-coaches discussed how they faced several challenges, most notably concurrently managing their teaching and coaching responsibilities and meeting their family obligations. To alleviate the challenges, most teacher-coaches preferred being relieved of certain teaching duties and being offered more preparation time rather than being compensated financially. Suggestions are provided to help teachers maintain their involvement in coaching.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.019 | 0.004 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".